Oliveira Santos, V.; Guimarães, B.M.D.M.; Neto, I.E.L.; de Souza Filho, F.d.A.; Costa Rocha, P.A.; Thé, J.V.G.; Gharabaghi, B.
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods. Remote Sens. 2024, 16, 1870.
https://doi.org/10.3390/rs16111870
AMA Style
Oliveira Santos V, Guimarães BMDM, Neto IEL, de Souza Filho FdA, Costa Rocha PA, Thé JVG, Gharabaghi B.
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods. Remote Sensing. 2024; 16(11):1870.
https://doi.org/10.3390/rs16111870
Chicago/Turabian Style
Oliveira Santos, Victor, Bruna Monallize Duarte Moura Guimarães, Iran Eduardo Lima Neto, Francisco de Assis de Souza Filho, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, and Bahram Gharabaghi.
2024. "Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods" Remote Sensing 16, no. 11: 1870.
https://doi.org/10.3390/rs16111870
APA Style
Oliveira Santos, V., Guimarães, B. M. D. M., Neto, I. E. L., de Souza Filho, F. d. A., Costa Rocha, P. A., Thé, J. V. G., & Gharabaghi, B.
(2024). Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods. Remote Sensing, 16(11), 1870.
https://doi.org/10.3390/rs16111870
